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J C Duffy

Publications and source records attributed to J C Duffy.

65 records · Page 4Linked to original sources
PubMedDate not supplied

Binary and rate measures of life event experience: their association with illness onset in Edinburgh and London community surveys.

This report examines the extent to which a binary stress index (the experience of at least one severe event) and event rate measures were successful in predicting onset of psychiatric disorder amongst 1029 women. Analyses were based upon samples drawn from Edinburgh and London communities. Whilst the binary measures were successful in discriminating cases from non-cases within each sample, they were less powerful than measures based upon the rate at which events (usually severe) had been experienced. The results are discussed in terms of their relevance to issues of the health consequences of experiencing multiple events, and of the duration over which stressful events may have an influence on psychiatric health.

Adolescent↗
PubMedDate not supplied

Structure-based methods for the prediction of the dominant P450 enzyme in human drug biotransformation: consideration of CYP3A4, CYP2C9, CYP2D6.

Metabolic drug-drug interactions are receiving more and more attention from the in silico community. Early prediction of such interactions would not only improve drug safety but also contribute to make drug design more predictable and rational. The aim of this study was to build a simple and interpretable model for the determination of the P450 enzyme predominantly responsible for a drug's metabolism. The P450 enzymes taken into consideration were CYP3A4, CYP2D6 and CYP2C9. Physico-chemical descriptors and structural descriptors for 96 currently marketed drugs were submitted to statistical analysis using the formal inference-based recursive modelling (FIRM) method, a form of recursive partitioning. Generally accepted knowledge on metabolism by these enzymes was also used to construct a hierarchical decision tree. Robust methods of variable selection using recursive partitioning were utilised. The descriptive ability of the resulting hierarchical model is very satisfactory, with 94% of the compounds correctly classified.

Aryl Hydrocarbon Hydroxylases↗